This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Engineer, Data Foundations based in India.
This role offers the opportunity to build the foundational data infrastructure that powers analytics and AI at enterprise scale. You will work across the full data lifecycle, from ingestion and transformation to semantic modeling and reliable data access. The position combines software engineering, data architecture, domain modeling, and AI-enabled development. You will design production-grade batch and streaming systems while taking ownership of data quality, observability, and documentation. Your work will help business teams and AI agents access trusted, well-structured data with greater consistency and reliability. You’ll join a technically ambitious environment that values long-term platform health, scalable architecture, and rapid iteration.
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Accountabilities:
Design and build scalable, fault-tolerant data pipelines that transform raw source data into trusted,



well-documented datasets across both batch and streaming architectures.
Own data quality and observability end-to-end by implementing monitoring, alerting, automated testing, validation, and comprehensive documentation across pipelines and data models.
Build and continuously evolve semantic and metric layers that provide transparent context and guardrails for reliable data access by both human analysts and AI agents.
Architect enterprise-grade datasets using appropriate modeling approaches, including dimensional modeling, Data Vault, or One Big Table principles, with robust grain definitions and key strategies.
Design and scale data platforms capable of operating in complex, multi-tenant environments, including architectures supporting multi-region replication.
Leverage generative AI development frameworks and tools to accelerate engineering workflows and enable more intelligent analytics capabilities.
Partner with business stak

📌 Software Engineer, Data Foundations (India)
🏢 Jobgether
📍 India